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This paper is in the following e-collection/theme issue:

Natural Language Processing (991) Decision Support for Health Professionals (1685) Advanced Data Analytics in eHealth (245) Machine Learning (2297) AI Language Models in Health Care (284)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60272, first published .
Enhancing Bias Assessment for Complex Term Groups in Language Embedding Models: Quantitative Comparison of Methods

Enhancing Bias Assessment for Complex Term Groups in Language Embedding Models: Quantitative Comparison of Methods

Enhancing Bias Assessment for Complex Term Groups in Language Embedding Models: Quantitative Comparison of Methods

Authors of this article:

Magnus Gray1 Author Orcid Image ;   Mariofanna Milanova2 Author Orcid Image ;   Leihong Wu1 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Gray M, Wu L. Benchmarking bias in embeddings of healthcare AI models: using SD-WEAT for detection and measurement across sensitive populations. BMC Medical Informatics and Decision Making 2025;25(1) View
  2. Momtaz Esfahani S, Seeman D, Dharma C, Noaeen M, Guha S, Shakeri Z, Atoum I. FairCareNLP: An AI-driven patient review analyzer for healthcare. PLOS One 2026;21(5):e0337676 View